Evidence map›Paper›PMID 34488673›Full record

ArticleBMC infectious diseases2021

Crowdsourcing to develop open-access learning resources on antimicrobial resistance.

Eneyi E Kpokiri, Randall John, Dan Wu, Noah Fongwen, Jehan Z Budak, Christina C Chang, Jason J Ong, Joseph D Tucker

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Exploring the Scope of Crowdsourcing in Medical Education.Journal of pharmacy & bioallied sciences · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Eneyi E Kpokiri *Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St., Bloomsbury, London, WC1E 7HT, UK. eneyi.kpokiri@lshtm.ac.uk.
Randall John *Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Dan WuFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St., Bloomsbury, London, WC1E 7HT, UK.
Noah FongwenFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St., Bloomsbury, London, WC1E 7HT, UK.
Jehan Z BudakDepartment of Medicine, Division of Allergy & Infectious Diseases, University of Washington, Seattle, WA, USA.
Christina C ChangPartners ID Images, Department of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Jason J OngFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St., Bloomsbury, London, WC1E 7HT, UK.
Joseph D TuckerFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St., Bloomsbury, London, WC1E 7HT, UK.

Funding

Newton Fund NIF\R1\181020
6 · The paper itself

Abstract

objectivesAntimicrobial resistance (AMR) is a significant threat to global public health. Many medical curricula have limited clinical cases and materials focused on AMR, yet enhanced AMR education and training are needed to support antimicrobial stewardship programmes. We used crowdsourcing methods to develop open-access, learner-centred AMR resources. Crowdsourcing is the process of having a large group, including experts and non-experts, solve a problem and then share solutions with the public.

methodsWe organised a global crowdsourcing contest soliciting AMR-related multiple-choice questions, infographics, and images. First, we convened a diverse steering committee group to finalise a call for entries. Second, we launched the contest and disseminated the call for entries using social media, blog posts, email, and an in-person event. Partner institutions included two digital healthcare platforms: Figure 1

resultsWe received 59 entries from nine countries. These included 54 multiple-choice questions, four infographics, and one image. Eligible entries (n = 56) were reviewed and assigned a score on a 1-10 scale. Eight entries received mean scores greater than 6.0 and were selected as finalists. The eight finalist entries consisted of three infographics and five multiple-choice questions. They were disseminated through open-access publications and online medical communities. Although we launched a global call, we relied heavily on medical student groups and the entries received were not entirely globally representative.

conclusionsWe demonstrate that crowdsourcing challenge contests can be used to identify infectious disease teaching materials. Medical educators and curriculum developers can adapt this method to solicit additional teaching content for medical students.

Indexed as

CrowdsourcingStudents, MedicalAnti-Bacterial AgentsDrug Resistance, BacterialHumansAnti-Bacterial AgentsAntimicrobial resistanceAntimicrobial stewardshipCrowdsourcingCurriculum developmentInfectious diseasesMedical education

Identifiers

PMID34488673
PMCPMC8419975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.